Matcha model makes drug candidate screening more than 30 times faster

Ligand Pro, founded by Skoltech professors and a Skoltech Ph.D. student, has presented Matcha, an AI-powered molecular docking model that performs virtual drug screening 30 times faster than the large ...

New AI method flags fluid flow tipping points before simulations break down

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...
The LancetOpinion

Should AI have a seat in the selection committee for liver transplantation?

Both eligibility and access criteria for liver transplantation (LT) have continued to evolve as indications broaden; ...
Electrek

Tesla FSD v14.3 rolls out with MLIR rewrite, 20% faster reactions

Tesla's FSD v14.3 is rolling out with an MLIR-based AI compiler rewrite Tesla claims delivers 20% faster reaction time. Full ...
College of Computing - Georgia Tech

Meet the Faculty: Abrahim Ladha Brings a Longstanding Connection to Teaching at Georgia Tech

In addition to his teaching, Ladha serves as coach for Georgia Tech’s Competitive Programming team, which competes in the ...
Virtualization Review

Running AI Natively on Windows 11 Using an eGPU

Tom Fenton reports running Ollama on a Windows 11 laptop with an older eGPU (NVIDIA Quadro P2200) connected via Thunderbolt dramatically outperforms both CPU-only native Windows and VM-based ...